Table 3.
Marginal Effects of Respondent Characteristics on Participation
Variable | Marginal Effect | Standard Error | z | P>|z| | 95% Confidence Interval | |
---|---|---|---|---|---|---|
Distance from residence to coast (mi.) | −0.005 | 0.001 | −3.52 | 0.000 | −0.008 | −0.002 |
Household size | 0.017 | 0.015 | 1.10 | 0.270 | −0.013 | 0.047 |
Age | −0.005 | 0.001 | −4.80 | 0.000 | −0.007 | −0.003 |
Female | −0.004 | 0.030 | −0.12 | 0.906 | −0.063 | 0.056 |
Non-White | −0.425 | 0.071 | −6.02 | 0.000 | −0.563 | −0.287 |
4-Year college or graduate degree | 0.152 | 0.035 | 4.370 | 0.000 | 0.084 | 0.221 |
Household income $100,000 or higher | 0.090 | 0.033 | 2.77 | 0.006 | 0.026 | 0.154 |
Note: Marginal effects are calculated with other variables at their mean levels (see Table A-6 for summary statistics). Marginal effects for binary (dummy variables) are for the discrete change from the base level.